Triple

T15894663
Position Surface form Disambiguated ID Type / Status
Subject Faina Ranevskaya E385421 entity
Predicate notableWork P4 FINISHED
Object Zolushka
Zolushka is a classic Soviet film adaptation of the Cinderella fairy tale, remembered in part for Faina Ranevskaya’s iconic comedic performance.
 E1182853 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zolushka | Statement: [Faina Ranevskaya, notableWork, Zolushka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zolushka
Context triple: [Faina Ranevskaya, notableWork, Zolushka]
  • A. Mashenka
    Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
  • B. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • C. Fenitschka
    Fenitschka is a novella by Lou Andreas-Salomé that explores themes of female independence, intellectual freedom, and unconventional relationships in late 19th-century European society.
  • D. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • E. Opochka
    Opochka is a small historic town in Pskov Oblast, Russia, known for its role as a local trade and cultural center near the border with the Baltic states.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zolushka
Triple: [Faina Ranevskaya, notableWork, Zolushka]
Generated description
Zolushka is a classic Soviet film adaptation of the Cinderella fairy tale, remembered in part for Faina Ranevskaya’s iconic comedic performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zolushka
Target entity description: Zolushka is a classic Soviet film adaptation of the Cinderella fairy tale, remembered in part for Faina Ranevskaya’s iconic comedic performance.
  • A. Mashenka
    Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
  • B. Babooshka
    "Babooshka" is a 1980 art-pop song by English singer-songwriter Kate Bush, known for its dramatic storytelling, theatrical vocals, and distinctive music video.
  • C. Fenitschka
    Fenitschka is a novella by Lou Andreas-Salomé that explores themes of female independence, intellectual freedom, and unconventional relationships in late 19th-century European society.
  • D. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • E. Opochka
    Opochka is a small historic town in Pskov Oblast, Russia, known for its role as a local trade and cultural center near the border with the Baltic states.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04b55ec8190a5b3513b2afa4f83 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb13fdb6c819091c3ee5c1f199031 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb208aef881909b3a00e0015c27df completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.